code: def current(self, tune):
      if tune:
          return np.exp(self._log_step)
      else:
          return np.exp(self._log_bar)
  
file_path: pymc/pymc/step_methods/step_sizes.py
imports: import numpy
  from scipy import stats
  from pymc.stats.convergence import SamplerWarning, WarningType
label_desc: Use image node_id 3 for calling the DualAverageAdaptation obj's underlying member method code with example usage: obj.current(tune) and returns: np, np